Ori Nizan | Computer Vision & Machine Learning

Research Interests

My work focuses on image domain transfer, anomaly detection, and generative modeling for visual understanding.

Breaking the Cycle — Colleagues Are All You Need

O. Nizan & A. Tal · CVPR 2020 · Project Page

Male-to-female face translation using Council-GAN

K-NNN: Nearest Neighbors of Neighbors for Anomaly Detection

O. Nizan & A. Tal · WACV Workshops 2024 · Code

FPGAN-Control: A Controllable Fingerprint Generator for Training With Synthetic Data

A. Shoshan, N. Bhonker, E. Ben Baruch, O. Nizan, I. Kviatkovsky, J. Engelsma, M. Aggarwal & G. Medioni · WACV 2024 · Code

FPGAN-Control synthetic fingerprint animation

Patchcontrast: Self-supervised pre-training for 3D object detection

O. Shrout, O. Nitzan, Y. Ben-Shabat, A. Tal · arXiv 2023

coret

Surrogate based Concept Retrieval for Large Datasets.

knnn

A simple implementation of the K-Nearest Neighbors of Neighbors (k-NNN) algorithm for anomaly detection.

Dichoptic Therapy Games

Built by Tal Bar Nizan & Ori Nizan · Contact Us

Interactive therapy games designed for dichoptic vision treatment. Features engaging gameplay mechanics to help patients with amblyopia and other binocular vision disorders.

LLM Token & Character Visualizer

Interactive tool to explore token and character counts, page equivalents, and book-scale comparisons for different LLM models.

Blogs

October 2025

Taming LLM Codebases with Gum

How a single Gum-powered CLI keeps AI-assisted projects organized, safe, and easy to onboard—even as scripts multiply.

Developer Experience Tooling LLMs

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